Madudu Maombi

Data Analyst: Transforming Data into Insights

SUMMARY

Passionate data analyst skilled in SQL, Python, and Tableau. Experienced in exploratory and statistical analysis, regression models, and data science methods. Effective communicator, translating technical insights for non-technical stakeholders, driving cross- functional collaboration. Eager to apply analytical expertise in dynamic, growth-oriented environments.

CONTACT

ad4pi2@r.postjobfree.com

+1-704-***-****

linkedin.com/in/madudu-maombi-

madudu

Wake Forest, NC

EXPERIENCE

Associate Fulfillment

- Organize and maintain optimal inventory levels within the warehouse.

- Ensure all products meet quality standards before packaging and shipping.

- Accurately record information related to orders, inventory movements, and shipments using computer systems or designated software.

EDUCATION

Google / Advanced Data Analytics Professional Certificate JANUARY 2024 – MARS 2024, ONLINE

Completed a comprehensive three-month online program in advanced data analytics, achieving proficiency in Python programming, Tableau, exploratory data analysis, statistical analysis, regression analysis, data modeling, and foundational machine learning concepts.

Google / Data Analytics Professional Certificate

NOVEMBER 2021 – AVRIL 2022, ONLINE

Completed an intensive six-month online program in data analytics. Proficient in core practices and tools such as spreadsheets, SQL, R programming, and Tableau. Experienced in data cleaning and extraction from databases. Skilled in creating and presenting data findings through dashboards, presentations, and visualization platforms. Effective communicator of data insights to stakeholders. Bachelor of Science in Business Management and Work Organizations OCTOBER 2009 – OCTOBER 2016 UNIVERSITY OF KINSHASA – RDC Relevant Coursework: Strategic Management, Operations Management, Business Analytics, Project Management, Marketing Management, Financial Management, etc.

DATA ANALYTICS

PROJECT

Classification of TikTok videos: Used

statsmodels and scikit-learn to

predict whether videos presented

claims or opinions to improve

triaging process of videos for

human review.

Classification of Waze data: Built

decision tree, random forest, and

XGBoost to predict Waze user

churn.

Automatidata: Used multiple

regression to predict taxi fares,

data that would be used as part of

a suite of models to optimize

revenue for the New York Taxi and

Limousine Commission and its

drivers.

SKILLS

Programming Languages: Python,

SQL and NoSQL, R, PostgreSQL

Python Packages: numpy, Pandas,

Scipy, seaborn, Matplotlib,

statsmodels, scikit-learn

Machine Learning Models:

regression (linear, logistic), Naive

Bayes, decision trees, random

forest, AdaBoost, XGBoost

AMAZON, NC NOV 2019 - PRESENT

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